%A XU Zhao-zhao, LI Ching-hwa, CHEN Tong-lin, LEE Shin-jye %T Naive Bayesian Decision TreeAlgorithm Combining SMOTE and Filter-Wrapper and It’s Application %0 Journal Article %D 2018 %J Computer Science %R 10.11896/j.issn.1002-137X.2018.09.009 %P 65-69 %V 45 %N 9 %U {https://www.jsjkx.com/CN/abstract/article_414.shtml} %8 2018-09-20 %X How to efficiently and accurately dig out the medical data generated by the Internet-based wisdom medical system with “Industrial 4.0” is still a very serious problem.However,the medical data is often high-dimensional,unba-lanced and noisy,so this paper proposed a new data processing method combining SMOTE method with Filter-Wrapper feature selection algorithm to support clinical decision-making.In particular,the proposed method not only overcomes the situation of bad prediction result of the independent assumptions in the practical attribute application of Naive Bayesian,but also avoids over-fitting problem caused by constructing the model of C4.5 decision tree.What’s more,when the proposed algorithm is applied to ECG clinical decision-making,good results can be obtained.